Podcast appearances and mentions of alexandra ebert

Alexandra Ebert says the A.I. ecosystem is moving from open-source collaboration to national competition. She talks about safety vs innovation, saying A.I. needs to “come out into the wild” before we will know how to regulate it. She is particularly excited about A.I. in healthcare and personal finance.======== Schwab Network ========Empowering every investor and trader, every market day.Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

In episode 2 of the new season, Alexandra Ebert chats with Daragh Morrissey, Microsoft's Director of AI for Worldwide Financial Services, recorded live at Money2020 US. Daragh offers a global perspective on AI adoption in financial services, highlighting unique strategies and challenges faced by institutions worldwide. He explains why Canada and Australia stand out in AI progress and why succeeding with Gen AI requires financial institutions to shift from over-strategizing to focusing on tangible outcomes.Daragh also shares insights on impactful AI applications in financial services, from automating contact centers to upselling, enhancing customer relationships, and modernizing legacy code. Lastly, Alexandra and Daragh take a look at the future of work and the role autonomous agents might play. They also debate whether AI will free up advisors time and whether, as a result, banks will have many more human advisors, or if the future of personalized banking will be more automated, yet transformative in enhancing individual financial health and fostering greater inclusivity. Daragh's compelling anecdotes and strategic insights make this episode a must-listen for anyone interested in AI's future in financial services.Table of Contents:0:00 - 2:39 Introduction to the Episode and Guest2:39 - 4:42 Daragh's Role and Microsoft's AI Approach in Financial Services4:42 - 6:37 Patterns in Successful AI Adoption Globally6:37 - 8:20 Gen AI Adoption: Early Success Stories and Lessons Learned8:20 - 10:59 Overcoming Challenges: Moving Beyond Perfectionism in AI Projects10:59 - 12:14 The Shift in Financial Services AI Use Cases12:14 - 14:36 Regional Differences in AI Approaches in Financial Services14:36 - 17:55 AI Use Cases in Financial Services: From Advisors to Autonomous Agents17:55 - 20:00 Ethical Challenges and Responsible AI in Financial Services20:00 - 23:25 The Future of Financial Services AI: Customer Relationship Innovations23:25 - 27:32 Expanding Financial Inclusion with AI and Responsible AI Practices27:32 - 29:41 Closing Thoughts on AI's Impact on Financial Services

Welcome back to Season 4 of the Data Democratization Podcast! In the 1st episode of the new season, Alexandra Ebert sat down with Malcolm DeMayo, NVIDIA's VP of Global Financial Services, live at Money2020 US to dive into what it takes for financial services organizations to succeed with data and AI at scale. Malcolm shares insights on using data as a true differentiator, why Responsible AI practices are more important than ever, and how modern privacy-enhancing technologies - like federated learning and synthetic data - help tackle common data challenges. He also sheds light on how Gen AI is impacting talent and the surprising ways AI assistants might help organizations counteract the negative effects of employee churn. And, of course, Alexandra asks Malcolm for his vision for the future of AI in financial services. Check out other episodes of the Data Democratization Podcast for more stories about data, privacy, responsible AI and how to do data democratization well.

In the 47th episode of the Data Democratization Podcast, host Alexandra Ebert talks to Maritza Curry, Head of Data at RCS South Africa, to explore practical insights into developing effective data strategies. The discussion delves into the importance of solid data management and data governance. It also covers the topic of whether an AI strategy is necessary and the critical need for integrating business literacy into AI and data initiatives. Maritza offers valuable tips from her extensive experience, emphasizing the importance of good communication. She highlights the necessity of talking not only to executives but also to those on the frontlines in order to develop effective data strategies and tailor them to best fit your organizational culture.Check out the other episodes of the Data Democratization Podcast for more stories about data, privacy, responsible AI and how to do data democratization well. 

Thema: Ringen um AI Act der EU; Gefahren künstlicher Intelligenz

Diese Woche im Tech Briefing:Thema der Woche: Desinformation in Zeiten der Künstlichen Intelligenz. Auch wenn Informationen schon immer gefälscht wurden, war es noch nie so einfach und schnell Inhalte zu manipulieren oder neu zu erschaffen. Welche Herausforderungen ergeben sich für unsere Gesellschaft? Plus: Technik alleine kann das Problem nicht lösen. Die Entwicklungen der KI schreiten zu schnell voran, um mit aktuellen technischen Mitteln der Sicherheit mitzuhalten. Dazu: Durch die Sozialen Medien werden Desinformationen schneller denn je verbreitet. Wer schränkt die Plattformen ein? Wer ist verantwortlich für die Inhalte? Im Gespräch: Alexandra Ebert, Chief Trust Officer bei Mostly AI, Prof. Martin Steinebach vom Fraunhofer Institut und Sergey Lagodinsky, MEP (Grüne)Plus: Nachrichten aus der Welt der BigTech, Startups und TechnologieHillary Clinton Deepfake Video: https://twitter.com/ramble_rants/status/1645760735266451456 Haben Sie Fragen? Schreiben Sie uns gerne eine Mail an kontakt@mediapioneer.com.Moderation: Christoph Keese und Lena Waltle Redaktionsassistenz: Clara Meyer-HornProduktion: Till Schmidt Hosted on Acast. See acast.com/privacy for more information.

In the 46th episode of the Data Democratization Podcast, host Alexandra Ebert is talking to Wolfgang Weidinger, AI, Data Science, and Analytics Coordinator at Generali Insurance, Austria, and Chairman Of The Board at the Vienna Data Science Group. Wolfgang is a seasoned data scientist with tons of experience managing AI, data science, and analytics projects. The episode covers a wide range of topics, offering actionable tips for those looking to deploy AI models in large organizations:selecting the right tools for AI projects,the adoption of AI in various industries,the significance of soft skills, collaboration, and domain knowledge,the organizational role of the data scientist,how to bridge the gap between business and technology.If you would like to learn more about data science and AI in practice, we recommend The Handbook of Data Science and AI - Generate Value from Data with Machine Learning and Data Analytics, co-authored by Wolfgang. If you are in Vienna, Austria, follow the Vienna Data Science Group for great meetups and opportunities to connect with the local data science community!

In this episode of the Data Democratization Podcast, host Alexandra Ebert, Chief Trust Officer at MOSTLY AI, sits down with Caroline Louveaux, Chief Privacy & Data Responsibility Officer at Mastercard, to explore the evolving landscape of data privacy and AI governance. Caroline shares her insights on topics ranging from privacy-enhancing technologies (PETs) to data for social impact. Here is what you'll learn:How to be successful in today's data and AI ecosystem,What is the role of the Chief Data Responsibility Officer,How to set up your organization for compliance with the 'alphabet soup of EU regulations',How to make compliance loveable,What's needed on the regulatory side,How to enable AI innovation,What is an AI governance framework, and how to make it work?How can privacy pros prepare for AI?How can privacy-enhancing technologies facilitate AI innovation?Why is automation so important?Can data and AI positively impact society?Dive into this conversation to better understand the importance of data governance and responsible data usage in the digital age. 

What is data and AI literacy, and why is it central to DataCamp's mission? In this episode, our host, Alexandra Ebert, MOSTLY AI's Chief Trust Officer, had the chance to talk to truly like-minded people. DataCamp's CEO and co-founder, Jo Cornelissen, and Maggie Remynse, VP of Curriculum, have both seen firsthand how transformative knowledge and access to data is.  If you are interested in Data and AI literacy, make sure you check out the vast resources DataCamp is going to share throughout September 2023 during their annual Data and AI Literacy Month. There are top-notch experts sharing their knowledge during webinars, podcast episodes, and even a virtual conference on September 28th. And the best of all, it's completely free of charge. Sign up here: https://bit.ly/3sMu8pJ 

Recorded live at the Money2020 Europe conference, Alexandra Ebert, MOSTLY AI's Chief Trust Officer talks to Sulabh Agarwal, Accenture's Global Head of Payments. Sulabh shares his insights on the changing landscape of the payments industry and the factors driving its transformation. He highlights the influence of technology and the role of payments as a catalyst for innovation, improved customer experiences, and personalization in the payment process. The episode concludes with a discussion on the future of payments and the actions payments executives should take to future-proof their strategies. 

In this episode of the Data Democratization Podcast, host Alexandra Ebert interviews Daniela Pak-Graf, the managing director of Merkur Innovation Lab — the innovation arm of Merkur Insurance. Daniela shares her tips and best practices for innovating with data in one of the most conservative and sensitive industries, health insurance. Tune in to find out how to accelerate innovation through effective data management, forward thinking organizational decisions and enabling technologies, like AI-powered synthetic data generation.

In episode 39 of the Data Democratization Podcast, host Alexandra Ebert, Chief Trust Officer at MOSTLY AI, is joined by Rania Wasir, co-founder and CTO of leiwand.ai, to discuss AI transparency, the misconceptions surrounding AI transparency and fairness, and why having a standard for transparency is important. The episode also explores the concepts of fairness and explainability in AI, and how they differ from transparency. The challenges of detecting biases in large language models such as ChatGPT are also explored.

Kicking off season three of the Data Democratization podcast, our host, Alexandra Ebert, MOSTLY AI's Chief Trust Officer, talks to Ryan Carrier, Founder and Executive Director of the NGO For Humanity. Ryan's mission at For Humanity is to translate emerging AI regulation into auditable criteria, helping to build an AI ecosystem that people can trust. If you want to learn more about For Humanity's work, join their Slack community or take one of their classes online.

Andy & Pedro speak with Alexandra Ebert, a Responsible AI, synthetic data & privacy expert who serves as Chief Trust Officer at MOSTLY AI. As a member of the company's executive leadership team, she is engaged in public policy issues in the emerging field of synthetic data and Ethical AI and is responsible for engaging with the privacy community, with regulators, the media, and with customers. The DPBC podcast is a TechGC production.  Learn more about the TechGC's thriving in-house legal community at https://www.techgc.co/ Follow Andy on LinkedIn: https://www.linkedin.com/in/andy-dale-7705b83/  Follow TechGC on LinkedIn: https://www.linkedin.com/company/techgc

The Data Democratization Podcast is back with an intriguing episode giving us a glimpse into the future of healthcare. Just like with any industry, AI is set to revolutionize how health insurers and healthcare service providers work. Improving patient outcomes is a great way to maximize the positive impact. However, the risks, as well as the opportunities are even greater when it comes to the health of millions of humans. Laura and Brent, two AI Ethics experts working at Humana, a large US health insurance company, are pioneers of their fields. For them, ethical AI, fairness and explainability are not just far-away buzz words, but everyday todo items with hands-on solutions. If you would like to learn more about how ethical AI gets done, listen to this episode and find out:How will AI revolutionize healthcare?How to build AI ethics programs?What is fairness in AI and what does synthetic data have to do with it?How is fair synthetic data used to promote AI fairness?Meet Laura Mariano, Lead Ethical AI Data Scientist and Brent Sundheimer, Principal AI Architect from Humana and your host, Alexandra Ebert, Chief Trust Officer at MOSTLY AI, the world's leading synthetic data company! 

Overview Today's guest is Alexandra Ebert, Chief Trust Officer at MOSTLY AI. Alexandra's work focused on public policy issues in the emerging field of synthetic data and Ethical AI. In this conversation we discuss the importance of communication skills for data professionals, what synthetic data is and how it can assist in privacy and fairness, and wrap up by discussing the importance of open data for research, education, and policy. This episode is great for data leaders looking to increase the privacy practice of their data teams, and provides practitioners and consumers with insights on the current state of Ethical AI. About Alexandra Ebert Alexandra Ebert is a Responsible AI, synthetic data & privacy expert and serves as Chief Trust Officer at MOSTLY AI. As a member of the company's executive leadership team, she is engaged in public policy issues in the emerging field of synthetic data and Ethical AI and is responsible for engaging with the privacy community, with regulators, the media, and with customers. She regularly speaks at international conferences on AI, privacy, and digital banking and hosts The Data Democratization Podcast, where she discusses emerging digital policy trends as well as Responsible AI and privacy best practices with regulators, policy experts and senior executives. Apart from her work at MOSTLY AI, she serves as the chair of the IEEE Synthetic Data IC expert group and was pleased to be invited to join the group of AI experts for the #humanAIze initiative, which aims to make AI more inclusive and accessible to everyone. Before joining the company, she researched GDPR's impact on the deployment of artificial intelligence in Europe and its economic, societal, and technological consequences. Besides being an advocate for privacy protection, Alexandra is deeply passionate about Ethical AI and ensuring the fair and responsible use of machine learning algorithms. She is the co-author of an ICLR paper and a popular blog series on fairness in AI and fair synthetic data, which was featured in Forbes, IEEE Spectrum, and by distinguished AI expert Andrew Ng. About MOSTLY AI: MOSTLY AI developed the world's most accurate synthetic data platform: a game-changing new anonymization technology that empowers businesses to unlock their big data assets, without putting their customers' privacy at risk. Social Handles Linkedin https://www.linkedin.com/in/alexandraebert/ Learn more about our mission and become a member here: https://www.womenindata.org/ --- Support this podcast: https://anchor.fm/women-in-data/support

Is AI inherently sexist? Or are we building AI with the biases we are still struggling to root out of our human interactions? And is a lack of diversity in the innovation process translating into the technology? AI is built and maintained by data, and if the data collected only represents the view of one type of individual or overly weights the importance of this information then the decisions AI makes will reinforce this inequality.   In a 2019 article for Sandford Social Innovation Review, entitled 'When Good Algorithms Go Sexist: Why and How to Advance AI Gender Equity', the co-author Genevieve Smith shared how she and her husband applied for the same credit card. Despite having a slightly better credit score and the same income, expenses and debt as her husband, the credit card company set her credit limit at almost half the amount. Customer service employees were unable to explain why the algorithm deemed the wife significantly less creditworthy.  What is most likely to have happened in this case is that AI was to blame as Genevieve shares in her article many institutions make decisions based on artificial intelligence (AI) systems using machine learning (ML), whereby a series of algorithms takes and learns from massive amounts of data to find patterns and make predictions.  Yet gender bias in these systems is pervasive and has profound impacts on women's short and long-term psychological, economic and health security.  On today's episode we welcome Alexandra Ebert who will share what AI is and how it will impact our jobs but also why you don't need to be scared of it. Most importantly, Alexandra tells us why we need to manage AI carefully to ensure equitable outcomes and so as not to exacerbate or perpetuate existing gender inequities.   Alexandra's Story LinkedIn - Alexandra Ebert

Gleich mit mehreren Gesetzen im Rahmen einer "Datenstrategie" will die EU "die Führungsrolle in einer datengestützten Gesellschaft übernehmen". Der AI Act etwa ist ein Verordnungsentwurf, der die Verarbeitung von Daten in KI-Systemen regeln soll. Ihm folgte im Februar 2022 der EU-Kommissions-Vorschlag zum Data Act. Die Verordnung soll den Binnenmarkt-Gedanken auf Datenhandel übertragen. Jeder Verbrauchter darf demzufolge selbst entscheiden, wer wann Zugriff auf seine Daten erhält, um damit einen Mehrwert zu erzeugen. Hier geht es insbesondere um anfallende Daten bei Gerätenutzung (Fahrzeuge, IoT usw). All diese Initiativen treffen auf die recht rigide DSGVO. In Episode 58 der Auslegungssache ordnen Joerg und Holger zusammen mit Alexandra Ebert die Dinge ein. Alexandra ist Chief Trust Officer beim Unternehmen mostly.ai und außerdem Expertin für Datenschutz, synthetische Daten und ethische Künstliche Intelligenz. Sie weist im Podcast darauf hin, dass vermehrtes Nutzen von personenbezogenen Daten, wie es von der EU gewünscht ist, auch neue Anforderungen an die Anonymisierung vor Weiterverarbeitung stellt. Diese sei oftmals kaum noch möglich. Alexandra erklärt, wie aus echten Datenbeständen synthetische Daten generiert werden können, die dann wiederum Forschungszwecken oder dem Training von KI-Systemen dienen. Im letzteren Fall könnten synthetische Daten außerdem dafür sorgen, dass ein vorhandener Bias im echten Datenbestand korrigiert wird. Ebert sieht hier eine Chance, Tendenzen zur Diskriminierung, wie sie bei KI-Systemen nach dem Training mit Echtdaten zu beobachten sind, entgegenzuwirken.

Sobald wir über Ethik und künstliche Intelligenz reden kürzt man die Gleichung recht schnell runter auf den “Wert des Menschen”. Alexandra Ebert beantwortet im “Talk mit Tatjana” Fragen rund um Digitalisierung, Synthetic Data & Co.

Sobald wir über Ethik und künstliche Intelligenz reden kürzt man die Gleichung recht schnell runter auf den “Wert des Menschen”. Alexandra Ebert beantwortet im “Talk mit Tatjana” Fragen rund um Digitalisierung, Synthetic Data & Co.

What does the future hold for the insurance industry? In the latest episode of the Data Democratization Podcast, our host, Alexandra Ebert talked to David Marock, a seasoned insurtech, fintech and proptech expert from London. David shared his insights on the state of AI in the insurance industry and what are the current trends developing in the insurtech space. In this episode you will hear about AI opportunities in insurance, why traditional insurance companies are tech hesitant, how to overcome the tech inertia in insurance organizations, how regulatory pressure is changing minds about digital transformation, why fairness is critical for insurance companies, how synthetic data solves data access and privacy issues, what to do about less tech-savvy business leaders and why the future of insurance will be driven by new technologies. 

Companies big and small are now in the business of collecting a wide variety of data on everything from your favourite colour to your physical location. Data collection can ultimately serve a number of different purposes, not the least of which is improving your personal customer experience. However, having privileged access to a wealth of salient information comes with major responsibilities—are most companies ready for the challenge? In this episode featuring commentary from Alexandra Ebert, the Chief Trust Officer at Mostly AI, and Doug Merritt, the CEO of Splunk, Claudette explores some of the challenges and ethical dilemmas that have cropped up as a result of the ongoing reliance on data to improve business practices. Alexandra and Doug explain how data can help businesses improve the customer experience, personalize the sales journey, and ultimately scale up by making use of important insights gleaned from a rich data collection. They also provide examples of how data can be used incorrectly, offering tips and tricks for companies hoping to maximize their use of data in the future.

In this episode, Alexandra Ebert, MOSTLY AI's chief trust officer will be talking to one of the founders and the chief data scientist of MOSTLY AI. If you are looking to get a behind-the-scenes view of how data privacy is implemented in practice, you are in the right place! You won't need a math Ph.D. to finally understand how privacy is measured and what is takes to protect personal data. Klaudius is also a huge fan of the concept of open data and talks about how synthetic data is the way forward for realizing the potential of open data sharing for research and innovation. 

In this episode of the Fit4Privacy Podcast, Punit is joined by Alexandra Ebert who is Chief Trust Office at Mostly AI. Alexandra and Punit talk about the relevance of data science, artificial intelligence, robotics, etc in the context of privacy and how AI can help solve privacy challenges. Alexandra shares how synthetic data can be created using AI and why anonymization does not protect privacy because data can still be re-identified. KEY CONVERSATION POINTS What is GDPR for you in one word? What is meant by words like data science, artificial intelligence, robotics, RPA, and privacy? How do you see the interplay of AI and privacy? Is privacy an enabler or hindrance for AI projects? What privacy elements are included in typical AI design? What privacy challenges are companies facing when implementing AI projects? ABOUT THE GUEST Alexandra Ebert Who is Chief Trust Officer at Mostly AI. Alexandra has researched GDPR's impact on the deployment of machine learning in the EU and its economic, societal, and technological consequences. She is passionate about ensuring that the way we as a society develop and use AI is ethical, inclusive, and bias-free. In this context, she has co-authored a 5 part Fairness in AI series which was also featured in Forbes. She is proud to serve on a mission to make AI inclusive and accessible to everyone. She is a part of the company Mostly AI that develops the world's most accurate Synthetic Data platform: a game-changing new anonymization technology that empowers businesses to unlock their big data assets, without putting their customer's privacy at risk. And, in this company, she is the Chief Trust Officer. ABOUT THE HOST Punit Bhatia is one of the leading privacy experts who has worked with professionals in over 30 countries. Punit works with business and privacy leaders to create an organizational culture with high privacy awareness and compliance as a business priority. Selectively, Punit is open to mentor and coach privacy professionals. Punit is the author of books “Be Ready for GDPR” which was rated as the best GDPR Book, “AI & Privacy – How To Find Balance”, “Intro To GDPR”, and “Be an Effective DPO”. Punit is a global speaker who has spoken at over 30 global events. Punit is the creator and host of the FIT4PRIVACY Podcast. This podcast has been featured amongst top GDPR and privacy podcasts. RESOURCES Websites: www.fit4privacy.com, www.punitbhatia.com CONNECT Instagram https://www.instagram.com/punit.world/ Facebook https://www.facebook.com/PunitBhatiaSpeaker/ LinkedIn https://www.linkedin.com/in/punitbhatia/ Podcast http://hyperurl.co/fit4privacy YouTube http://youtube.com/fit4privacy Email hello@fit4privacy.com --- Send in a voice message: https://anchor.fm/fit4privacy/message